Table 2.
Performance (in %) of the Inception-ResNet-v1 face recognition model trained with 5 different cleaning results.
| Model | Training data | #Image | Pairwise verification | Close-set identification | Open-set identification | ||
|---|---|---|---|---|---|---|---|
| Acc | VR@FAR = 0.1% | Rank-1 | DIR@FAR = 1% | DIR@FAR = 0.1% | |||
| B 1 | LCNN result | 5,049,824 | 99.63 | 99.43 | 98.06 | 94.01 | 82.08 |
|
| |||||||
| A 1 | MS-Celeb-1M | 8,456,240 | 99.40 | 97.97 | 96.50 | 86.36 | 59.31 |
| A 2 | MS-C-1-noR | 4,269,900 | 99.53 | 99.13 | 98.03 | 93.34 | 74.88 |
| A 3 | MS-C-1 | 6,024,931 | 99.60 | 99.30 | 98.13 | 93.73 | 81.66 |
| A 4 | C-MS-Celeb | 6,464,016 | 99.67 | 99.53 | 98.31 | 95.40 | 86.31 |